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What is Python data science and R programming for data science?

24 January 2018

Python or R for Data Scientists

Python and R are the two leading contenders for data scientists, with many statisticians running out to complete an R or Python data science course. However before investing in R  training or in a Python training course, it is essential that you investigate which of these languages is best for your needs and for data analysis.

What is so great about Python Data Science:

Since its release in 1989, Python offers many benefits for data scientists such as object-oriented programming, and powerful integrated development environments (IDE’s). Furthermore, there is a significant Python community to answer any questions, Anaconda for effectively managing packages, and libraries such as Panda, that simplifies working with data frames and time series data. 

Although Python was not developed specifically for data scientists, it is a general purpose language that is simple and intuitive with a very flat learning curve, and minimal time needed to write a program. It is possible to create visualisations using Python, however unlike those of R, visualisations done on Python are often more convoluted and less aesthetically pleasing.

Why R is Great for Data Science:

Created in 1992, R was able to learn from Python before its release. Similarly to Python, R offers RStudio, a powerful IDE, and allows for the capabilities of the language to be extended with C++. With the use of CRAN, a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R, data scientists can utilise a variety of machine learning algorithms and statistical tools. 

R is a brilliant language for visualised data with numerous visualisation packages such as ggplot2, ggvis, googleVis and rCharts. Although R may be slow to run at times and can have a steep learning curve, it was a language developed by data scientists for data scientists and has therefore become the lingua franca of data science. 

Despite not offering an alternative to the hundreds of essential R packages, Python remains a challenger to R as a tool for data science. Although it’s catching up, it’s still unclear if this will make people give up R. JBI offers Python training, for a range of courses such as a regular Python training course, a advanced Python course, and a Python for data analysis. As Python edges closer and closer to overtaking R as the lingua franca of data science, don’t miss your opportunity to do a Python for data scientists course with JBI today!

If you think your team can benefit from other courses, JBI training also offers analytics courses that can help you and your staff advance into the field of Big Data, AI, Machine learning and more.

About the author: Craig Hartzel
Craig is a self-confessed geek who loves to play with and write about technology. Craig's especially interested in systems relating to e-commerce, automation, AI and Analytics.

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